发明授权
US5369503A Method of picture compression by auto-organisation of a neural network
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通过自动组织神经网络的图像压缩方法
- 专利标题: Method of picture compression by auto-organisation of a neural network
- 专利标题(中): 通过自动组织神经网络的图像压缩方法
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申请号: US730871申请日: 1991-07-25
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公开(公告)号: US5369503A公开(公告)日: 1994-11-29
- 发明人: Gilles Burel , Isabelle Pottier
- 申请人: Gilles Burel , Isabelle Pottier
- 申请人地址: FRX Puteaux
- 专利权人: Thomson-CSF
- 当前专利权人: Thomson-CSF
- 当前专利权人地址: FRX Puteaux
- 优先权: FRX8916111 19891206
- 主分类号: G06F15/18
- IPC分类号: G06F15/18 ; G06K9/62 ; G06N99/00 ; G06T3/40 ; G06T9/00 ; H04N1/41 ; H04N1/415 ; H04N7/26 ; H04N11/04 ; H04N1/40
摘要:
The method of picture compression consists:in processing a current displaced pixel block in the picture to be compressed by using a network of N neurons, 1 to N, disposed in a single plane, each neuron having a number of inputs equal to the dimension of the blocks extracted from the picture, and such that, after a learning phase during which the network has auto-organised so that the neurons represent most probable input values, each neuron receives on its inputs, at the same instant, the pixels of the current block and outputs a signal, or potential, d.sub.j, which is positive and is all the lower the nearer is the state of the corresponding neuron j to the state of the inputs e.sub.i,in coding the current pixel block through a code associated with the neuron j whose potential d.sub.j is minimal.The invention applies, in particular, to the compression of television pictures.
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